Note: This paper is based on "the second stage of information analysis course"
Braford's law is one of the basic laws of bibliometrics. This law divides the journals of a discipline into core areas, related areas and irrelevant areas, and the relationship between them satisfies the following formula:
To put it simply, if the total number of periodicals in a field is 100, and the Braford coefficient is 5 according to the statistical analysis of econometrics, there are 20 periodicals in the relevant area of this field (100/5) and 4 periodicals in the core area of this field (100/25). Then, the first step in this field should be to determine the number of periodicals in the core area, and then try to find these core periodicals. Instead of blindly choosing in all related fields and unrelated fields.
Exercise: Search the literature about educational technology on the Internet. Take the journal of educational technology (peer review)-educational technology as an example, there are about 70 books. If the Braford coefficient is 5, there are about 2.8 core documents in the field of educational technology.
Reverse verification, select Google Academic Metrics, and find three magazines closely related to the field of educational technology. Moreover, it is found that the number one index in the past five years is "Computer &; Educational magazines explain the topics and fields that scholars are thinking about in the field of social sciences.
Off-topic exclamation: a hot educational technology.
For more complicated practice, please refer to the application of Bradford's scattering law in library literature &; Information Science: A Citation Study of Doctoral Dissertations Submitted to Maharashtra University, India
The content of Lotca's law is: (1) The author who published n papers is the author who published 1 paper 1/n? (2) About 60.79% of the authors have published papers in one field.
If there are 1 0,000 scholars in a field, there are 607 authors who have published a paper, 6 authors who have published 10 papers, and10.5 authors who have published 20 papers. Finding the "core author" can help you understand a field as quickly as possible.
Take the topic of "computational thinking" as an example, and search on google scholar. First of all, find Janet M. Wen and Shu Chi Grover, who are the most cited and repeated scholars. Searching for their academic background from CMU University and Stanford University almost confirmed their previous understanding, and these two universities are among the best in this field. Then we can take these two scholars as a breakthrough and read through their literature first. Of course, we can also apply the broad sense of "upper word" and "lower word" here, that is, looking for their teachers/students.
On the other hand, if you have access to the information of the core figures in a certain field, you can also find their academic context by tracking the traces, so as to find and summarize the "core authors". For example, taking the scholar John Meda as an example, we can find Ben Frye, Kathy Reyes, Golan Levin, Zachary Lieberman and so on along the thread of mentoring relationship.
Ziff's law is said to be the easiest habit for human beings to adhere to and follow, and it is also the "most labor-saving law". Ziff's Law has three inferences: 1) Openness will overcome closedness; 2) People will quote a lot of familiar information; 3) The core competitiveness is the degree of your differentiation.
However, it is not so easy to deeply understand Ziff's law. Teacher Yang Zhiping gave an example. For example, if there is a mountain, there are three ways to browse. A. Tunnel B. Flying C. Walking. Then in general, most people will definitely choose plan C, because it seems to be the most labor-saving. However, if someone can use their own differentiation rules and build another labor-saving channel (such as a tunnel). Then more and more people will follow this more labor-saving rule.
If you want to know more information, please refer to:
In his book Science since Babylon, Price proposed that the change process of the number of scientific and technological documents in different years should be represented as a smooth curve with the number of scientific and technological documents as the vertical axis and the historical year as the horizontal axis. This curve shows the exponential growth law of scientific and technological literature very approximately.
For example, if the initial document in a certain field is 100.
Q(0) = 100
So ten years later, when the constant is 1, what is the estimated literary limit Q( 10) after ten years?
q( 10)= 100 * exp( 1 * 10)= 2202624
Then, in some fields (such as philosophy and art), will it be more beneficial to trace back to the source and find this 100 document and read it first?
Taking the publication age of documents as the horizontal axis and the relative usage of documents as the vertical axis, a negative exponential curve can be drawn, which is called the document aging curve. (Bertram C. Brookes) With the passage of time, the role of literature in society will gradually decrease, which is called the aging of literature!
Qiu Junping, a Chinese scholar, compiled the "half-lives" of different disciplines in bibliometrics from 65438 to 0988. For example, the half-life of physics is 4.6, while that of geology is 1 1.8. I remember Teacher Yang once casually said that different disciplines need to pay attention to different starting points. For example, for the discipline of philosophy, classic works are particularly important; Conference papers are particularly important for computer science. Its essence is that the half-lives of the two disciplines are different.
Ye Ying, a scientist, and his partner Ronarld Rousseau tried to unify the above five models by using the wave diffusion equation (Ye and Rousseau, 2010; Ye, 20 1 1), interested friends can participate in the link in the following article.